Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi
Monitoring sleep with AI
To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Source: MIT/ CSAIL: Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez
As is commonly known, the chips in most modern desktop computers have four cores or processing units, which can run different computational tasks in parallel, but that the chips of the future could have dozens or even hundreds of cores, and taking advantage o... » read more

Source: The research was the work of Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg with support from the AUTOLAB team at UC Berkeley.
Nimble-fingered robots enabled by deep learning
Grabbing awkwardly shaped items that humans regularly pick up daily is not so easy for robots, as they don’t know where to apply grip... » read more

Source: MIT/CSAIL.Brandon Araki, John Strang, Sarah Pohorecky, Celine Qiu, Tobias Naegeli, and Daniela R
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) propose that if robots could be programmed to both walk and take flight, it would open up possibilities including machines that could fly into construction areas or disaster zones that aren’t near ... » read more

Source: Carnegie Mellon University, Human-Computer Interaction Institute, Gierad Laput, Yang Zhang, Chris Harrison
Although ubiquitous sensors seem almost synonymous with the IoT, some Carnegie Mellon University researchers say sensing with a single, general purpose sensor for each room may be better.
The team has developed a plug-in sensor package that monitors multiple phenomena — sou... » read more

Source: Princeton University, Caroline Trippel, Yatin A. Manerkar, Daniel Lustig*, Michael Pellauer*, Margaret Martonosi
*NVIDIA
Princeton University researchers have discovered a series of errors in the RISC-V instruction specification that now are leading to changes in the new system, which seeks to facilitate open-source design for computer chips. In testing a technique they created for... » read more